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  2. Grayscale - Wikipedia

    en.wikipedia.org/wiki/Grayscale

    Here is an example of color channel splitting of a full RGB color image. The column at left shows the isolated color channels in natural colors, while at right there are their grayscale equivalences: Composition of RGB from three grayscale images. The reverse is also possible: to build a full-color image from their separate grayscale channels.

  3. Color normalization - Wikipedia

    en.wikipedia.org/wiki/Color_normalization

    The grey world normalization makes the assumption that changes in the lighting spectrum can be modelled by three constant factors applied to the red, green and blue channels of color. [6] More specifically, a change in illuminated color can be modelled as a scaling α, β and γ in the R, G and B color channels and as such the grey world ...

  4. Color balance - Wikipedia

    en.wikipedia.org/wiki/Color_balance

    The left half shows the photo as it came from the digital camera. The right half shows the photo adjusted to make a gray surface neutral in the same light. In photography and image processing, color balance is the global adjustment of the intensities of the colors (typically red, green, and blue primary colors). An important goal of this ...

  5. Floyd–Steinberg dithering - Wikipedia

    en.wikipedia.org/wiki/Floyd–Steinberg_dithering

    The diffusion coefficients have the property that if the original pixel values are exactly halfway in between the nearest available colors, the dithered result is a checkerboard pattern. For example, 50% grey data could be dithered as a black-and-white checkerboard pattern.

  6. YCbCr - Wikipedia

    en.wikipedia.org/wiki/YCbCr

    YCbCr is sometimes abbreviated to YCC.Typically the terms Y′CbCr, YCbCr, YPbPr and YUV are used interchangeably, leading to some confusion. The main difference is that YPbPr is used with analog images and YCbCr with digital images, leading to different scaling values for U max and V max (in YCbCr both are ) when converting to/from YUV.

  7. Otsu's method - Wikipedia

    en.wikipedia.org/wiki/Otsu's_method

    An example image thresholded using Otsu's algorithm Original image. In computer vision and image processing, Otsu's method, named after Nobuyuki Otsu (大津展之, Ōtsu Nobuyuki), is used to perform automatic image thresholding. [1]

  8. Indexed color - Wikipedia

    en.wikipedia.org/wiki/Indexed_color

    A 2-bit indexed color image. The color of each pixel is represented by a number; each number (the index) corresponds to a color in the color table (the palette).. In computing, indexed color is a technique to manage digital images' colors in a limited fashion, in order to save computer memory and file storage, while speeding up display refresh and file transfers.

  9. Co-occurrence matrix - Wikipedia

    en.wikipedia.org/wiki/Co-occurrence_matrix

    A co-occurrence matrix or co-occurrence distribution (also referred to as : gray-level co-occurrence matrices GLCMs) is a matrix that is defined over an image to be the distribution of co-occurring pixel values (grayscale values, or colors) at a given offset. It is used as an approach to texture analysis with various applications especially in ...

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    opencv convert color to gray pdf version 5 10 download